We investigate the challenges of enabling effective collaboration between human operators and heterogeneous autonomous agents in complex, dynamic environments by developing an interaction platform that allows study of operator behavior and supports intent inference and decision-making using state-of-the-art frameworks....
Rohith Prem Maben, Ayesha Jena, Björn Olofsson et al.· 0 citations
In level-3 automated driving, control shifts between the system and the human driver, making timely and effective communication crucial in conflict situations. To explore how different communication modalities affect the driver’s understanding, trust, and performance in such situations, we conducted two complementary s...
S. Reitmann, Tsvetomila Mihaylova, Dionysios Kritharoulas et al.· Computers· 0 citations
The results demonstrate that privacy-preserving, local sleep detection is achievable on edge hardware through careful co-design, while highlighting limitations in sensing intrusiveness, dataset scale, and system integration.
This paper presents a hardware-constrained workflow optimized for native execution on the Raspberry Pi 5, and integrates an isolated, feature-driven Critical Points Layer (CPL) as a frontend filter to address the latency bottleneck of traditional geometric preprocessing on edge CPUs.
The Dependency Confidence Index is presented, a composite formative index that combines nine empirically weighted trust factors into a single normalized composite score for dependency selection, and its publicly available implementation provides a foundation for open source software trustworthiness research and practic...
C. Albrecht, S. Reitmann· 0 citations
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